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Multiple comparisons using R
~
Bretz, Frank.
Multiple comparisons using R
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Multiple comparisons using RFrank Bretz, Torsten Hothorn, Peter Westfall.
作者:
Bretz, Frank.
其他作者:
Hothorn, Torsten.
出版者:
Boca Raton :CRC Press,c2011.
面頁冊數:
1 online resource (xvii, 187 p.) :ill.
附註:
"A Chapman & Hall Book."
標題:
Multiple comparisons (Statistics)
電子資源:
http://www.crcnetbase.com/isbn/978-1-58488-574-0
ISBN:
9781420010909 (electronic bk.)
Multiple comparisons using R
Bretz, Frank.
Multiple comparisons using R
[electronic resource] /Frank Bretz, Torsten Hothorn, Peter Westfall. - Boca Raton :CRC Press,c2011. - 1 online resource (xvii, 187 p.) :ill.
"A Chapman & Hall Book."
Includes bibliographical references and index.
Front cover; Contents; List of Figures; List of Tables; Preface; CHAPTER 1: Introduction; CHAPTER 2: General Concepts and Basic Multiple Comparison Procedures; CHAPTER 3: Multiple Comparison Procedures in Parametric Models; CHAPTER 4: Applications; Bibliography; Back cover.
Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in stan.
ISBN: 9781420010909 (electronic bk.)Subjects--Topical Terms:
377560
Multiple comparisons (Statistics)
Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: QA278.4 / .B74 2011eb
Dewey Class. No.: 519.5
Multiple comparisons using R
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Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes' test. It then shows how to perform parametric multiple comparisons in stan.
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http://www.crcnetbase.com/isbn/978-1-58488-574-0
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